CS Colloquium: Z. Morley Mao - Staying Ahead of the Arms Race in Cybersecurity: Realizing Effective Attack Prevention, Detection, and Mitigation for Legacy and Future Networked Systems.

Speaker: Z. Morley Mao, University of Michigan

Talk Title: Staying Ahead of the Arms Race in Cybersecurity: Realizing Effective Attack Prevention, Detection, and Mitigation for Legacy and Future Networked Systems.

Abstract: The landscape of cybersecurity is a dynamic arena, characterized by an ongoing arms race between malicious actors exploiting vulnerabilities and defenders striving to safeguard systems against potential devastation. With the increasing integration of cyberphysical systems like autonomous vehicles and AI/ML technologies into our daily lives, the reactive nature of our security measures poses significant risks.   In this talk, I will articulate a forward-looking vision for cybersecurity research. Drawing upon the collective efforts of my team, I will delve into innovative approaches aimed at addressingsecurity challenges across diverse fronts. From enhancing the resilience of the time-honored DNS system to fortifying the security of ubiquitous mobile platforms, and extending to safeguarding ML-based systems within the burgeoning realms of IoT and autonomous vehicles, our focus is proactive.   Our strategy entails the construction of inherently secure systems designed to systematically eliminate vulnerabilities. We advocate for the integration of formalisms derived from disciplines such as programming languages, coupled with the provision of robust security guarantees within the very fabric of the platform architecture. Through this proactive paradigm shift, we endeavor to usher in a new era of cybersecurity resilience and reliability.   This lecture satisfies requirements for CSCI 591: Research Colloquium

Biography: Z. Morley Mao is a Professor at the University of Michigan, having completed her Ph.D. at UC Berkeley on robust Internet routing protocol design and effective network measurement techniques to uncover network properties with security and performance implications. She is an ACM and IEEE Fellow, a recipient of the Sloan Fellowship, the NSF CAREER Award, the ARMY YIP Award, and an IBM Faculty Award. Her other honors include the Morris Wellman Faculty Development Professor, EECS Achievement Award, College of Engineering George J. Huebner Research Excellence Award at University of Michigan.  Her recent research focus encompasses adversarial machine learning, AV security, and next generation wireless networks.

Host: Harsha V. Madhyastha

Location: Olin Hall of Engineering (OHE) - 136

Audiences: Everyone Is Invited

Contact: CS Faculty Affairs